Freakalytics

Rapid Analytics to Explore, Understand, Communicate & Act

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Creating a data-driven culture in your company

A great summary of key requirements to build a data-driven culture, by Chris Stolte, Tableau co-founder:

1. Don’t fear the user,
2. Encourage corporate curiosity,
3. Manage to the outliers,
4. Measure, experiment and then measure again, and
5. Build trust and understanding.

I would add two more points, one of which Chris is too modest to state,

6. From my experience working at Netflix, no matter the level of decision-maker, ask them for the data to back up their decision and to examine the results of their decisions.
7. Deploy Tableau in your business- speed of insight is critical to the value of data in many business needs. Tableau quickly delivers beautiful insights that are understandable by all of your employees. There is no other application like it!

Read the article and see Chris’s comments first hand.

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Dashboard tips by example- viewing detailed tables beneath the data with Tableau Reader

Many students in class ask, “Is it possible for Tableau Reader to show the detailed data using View Data functionality available in Tableau Desktop?” The answer is no, this feature is not available in Tableau Reader.

However, while you can’t use View Data in Tableau Reader, you can

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Dashboard Nirvana and Visual Management of Marketing Programs

View and interact with the strategic customer sales and analyst exploratory dashboards below, both hosted by tableau public.

Read Eileen’s white paper, “Visual Management of Marketing Programs“, for detailed explanations on maximizing Marketing ROI with visual marketing dashboards.

For practical, tested in the trenches advice on creating great dashboards for marketing programs, view Stephen’s Dashboard Nirvana webinar.

In this case study, we used customer demographic and sales databases from a boutique winery in combination with Tableau Software

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Webinar – Achieve Marketing Dashboard Nirvana

Practical tips for quickly building and maintaining these data insight tools
Tuesday, March 2, 2010- 2:00 PM Eastern Time / 11:00 AM Pacific Time

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Rapid Graphs- Tableau for Customer Segmentation and Lifetime Value Analysis

This was presented at the Tableau Conference 2009. It is about the tremendous opportunities to leverage customer segmentation and lifetime value data at the individual customer level. Click here for the presentation.

Identifying segments for every customer can unlock long-hidden value for your marketing team. Combining this information with Tableau creates a simple means for marketing owners to evaluate and improve their decisions.

A second opportunity is adding lifetime value estimates to each customer as you acquire them and as their behavior adds additional information to inform their value. With lifetime value estimates, you will gain a huge competitive advantage in evaluating your the long-term value of your marketing investments and product decisions. Are your most expensive programs just impacting short-term outcomes and only reaching lower value customers? How are your customers being affected by a blend of marketing programs over time?

Click here to see a summary view on Tableau Public which was constructed from part of the Tableau workbook used in this presentation. Many thanks to Ellie Fields at Tableau for selecting the views and publishing this summary!

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Stephen Few’s latest book, “Now you see it”

Stephen’s latest book is a brilliant interplay of simple to advanced statistical concepts with powerful visual equivalents and methods. It offers wonderful guidance with great examples around visualizing time series, correlations and multivariate analysis problems. It will have a major impact for many years to come in changing how business analysts work, think and improve their companies!

A friend of mine recently asked “… are statisticians becoming irrelevant” (hey, that’s me!) with the advent of advanced visualization tools like Tableau. I think the answer is yes and no. New tools like Tableau combined with methods expounded by Stephen will allow daily business questions to be answered rapidly. This should allow the statisticians to focus on tackling very high value problems where even a 1% improvement in the outcome is a huge win.

I have personally found that combining my work in data mining with beautiful stories about the results (created with Tableau) is truly impressive and informative for guiding decision-makers. Business decision-makers gain the advantages offered by advanced data mining algorithms such as decision trees, logistic regression and neural networks to identify primary predictive patterns and variables. The analyst can then clearly explain the results with compelling visuals to easily convey the findings and recommendations.

I think Stephen’s latest book will become the “gold” standard for data exploration books to follow. If you need the next step past “Show Me the Numbers“, this is it! BTW- it is even better than “Show Me the Numbers“, which is indeed very impressive. I plan to incorporate some of this book into my advanced Tableau course, “Data Exploration and Elegant Dashboards with Tableau”.

Cross-posted comment at Tableau Blog.

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Download Slides- Webinar With Tableau on Visual Data Mining

Thanks for all of your kind comments and wonderful feedback!  I will try to get back to as many of you as the last few weeks of writing the book allows!

Visual Data Mining: Finding Patterns and Key Insights in Online Marketing Data

Date/Time: Already Occured- 6/11/2009
Presented by:
American Marketing Association
Sponsored by:
Tableau Software

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